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Verification is the task of ensuring that a model satisfies the specifications.
Introduction
To understand the output of an agent-based model it is often necessary to evaluate the details of a simulation ‘history’. This can be done in three ways:
key events in chronological order (evacuation plan example: e.g. do they all go first to the emergency shelters, and then return home? Is there first fire, then the alarm and then the evacuation?)
history of one agent can be documented (but: history of an individual agent can be “misleading” especially when the simulation contains random effects. One agent could be perfectly fine, but another may not.)
history from a global viewpoint can be noted (distribution of pedestrians) - large scale patterns.